Personal Information
Unternehmen/Arbeitsplatz
London United Kingdom
Beruf
Software Engineer at Facebook
Tags
online experiments
data science
statistics
machine learning
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A Multi-Armed Bandit Framework For Recommendations at Netflix
Jaya Kawale
•
Vor 5 Jahren
Academia to Data Science - A Hitchhiker's Guide
Sudeep Das, Ph.D.
•
Vor 6 Jahren
Deeper Things: How Netflix Leverages Deep Learning in Recommendations and Search
Sudeep Das, Ph.D.
•
Vor 5 Jahren
Recent Trends in Personalization: A Netflix Perspective
Justin Basilico
•
Vor 4 Jahren
Shallow and Deep Latent Models for Recommender System
Anoop Deoras
•
Vor 5 Jahren
Recommending for the World
Yves Raimond
•
Vor 8 Jahren
Déjà Vu: The Importance of Time and Causality in Recommender Systems
Justin Basilico
•
Vor 6 Jahren
Time, Context and Causality in Recommender Systems
Yves Raimond
•
Vor 5 Jahren
Deep Learning for Recommender Systems
Yves Raimond
•
Vor 6 Jahren
ML Infra for Netflix Recommendations - AI NEXTCon talk
Faisal Siddiqi
•
Vor 6 Jahren
Netflix Recommendations Feature Engineering with Time Travel
Faisal Siddiqi
•
Vor 6 Jahren
Making Netflix Machine Learning Algorithms Reliable
Justin Basilico
•
Vor 6 Jahren
Correlation, causation and incrementally recommendation problems at netflix september 2018 - university of antwerp
Roelof van Zwol
•
Vor 5 Jahren
Recommendation at Netflix Scale
Justin Basilico
•
Vor 10 Jahren
Recommendations for Building Machine Learning Software
Justin Basilico
•
Vor 7 Jahren
Is that a Time Machine? Some Design Patterns for Real World Machine Learning Systems
Justin Basilico
•
Vor 7 Jahren
Data Storage Tips for Optimal Spark Performance-(Vida Ha, Databricks)
Spark Summit
•
Vor 8 Jahren
Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015
Databricks
•
Vor 9 Jahren
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
Cloudera, Inc.
•
Vor 8 Jahren
Shared Infrastructure for Data Science
Wes McKinney
•
Vor 6 Jahren